The team is working towards creating an open-source rover and drone system, that uses a ML algorithm to identify northern leaf blight in maize crops. The first goal of this open-source project is to prove this method of aerial and ground based disease detection is feasible. Our next goal is to ensure we can share and replicate this system outside of the Cornell community, so that any farmer or researcher can build on our project. This semester we are building out a website to share our findings and algorithms with any interested party. We are also working on using cloud computing to train the ML algorithm, and finalizing the electrical components of the Rover. We hope to get it fully moving and operation by the end of the semester.